Exploring Musical Properties - Version 1

My AI-Generated Tracks

These tracks were created using Stableaudio AI (Stableaudio). I took inspiration from genre tags on RateYourMusic and carefully crafted prompts using detailed descriptors to shape the sound. After generating the tracks, I simply downloaded the MP3 files.


Track 1: Meditative Ambient Soundscape

Track 1: Meditative Ambient Soundscape

Style: Ambient, Post-Rock, Cinematic
Length: 2 minutes
Goal: A calm, meditative atmosphere with minimal instrumentation.

Tags Used:
Ambient, Post-Rock, Cinematic, Ethereal, Soothing, Meditative, Minimalist, Warm Subtle Bass, Deep Drones, Airy Pads, Textures, Analog Synths, Field Recordings, Wind Sounds, Reverb, 60 BPM


Track 2: Energetic Breakbeat Rave

Track 2: Energetic Breakbeat Rave Style: Breakbeat, Acid Breaks, 90s Rave
Length: 2 minutes
Goal: A high-energy, raw breakbeat track with a chaotic yet funky groove.

Tags Used:
Breakbeat, Acid Breaks, 90s Rave, Energetic, Raw, Funky, Chaotic, Breakbeats, Deep Bass, Distorted 808, Acid Bass, Filtered Chords, Reversed Pads, Vocal Chops, 135 BPM


Creation Process

  1. Prompt Design:
    • Used RateYourMusic to explore fitting genre tags.
    • Structured prompts with specific instruments, moods, and BPM to guide the AI.
  2. Generation:
    • Entered prompts into Stableaudio AI.
    • Experimented with variations before selecting the best versions.
  3. Finalization:
    • Downloaded the MP3 files and ensured they matched my vision.

Visualization

Here’s a scatterplot of the Danceability compared to the Tempo of the tracks. My track 1 (ambient) is marked red, track 2 (breakbeat) is blue.


Final Thoughts

Findings and Final Thoughts

There appears to be no set correlation between the danceability and tempo of the tracks. However, an interesting pattern emerges: there are two clusters—one with low danceability, and another with high danceability, while the tempo does not differ much

Regarding my own tracks:

One particularly surprising observation is how the AI interpreted the second song’s tempo. While I set it to 135 BPM, it was classified as 93 BPM. This suggests that the AI might have emphasized a different rhythmic structure or half-time feel in its classification.